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Study on Control Performance of Bearing Temperature based on Genetic Algorithm

Study on Control Performance of Bearing Temperature based on Genetic Algorithm
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摘要 In order to improve the control effect of the bearing, this article studies the temperature control technology to improve the genetic algorithm, at the same time, analyze temperature simulation of bearing based on fuzzy PID control technology and improved genetic algorithm, the simulation results show that, the control method has good robustness based on Improved Genetic Algorithm. It can monitor a plurality of beating temperature, provides a new method for the detection and prevention of bearing fault.
作者 Nianqing Tang
出处 《International Journal of Technology Management》 2015年第1期29-31,共3页 国际技术管理
关键词 Beating' s temperature improved genetic algorithm temperature control 改进的遗传算法 轴承温度 控制性能 温度控制技术 改进遗传算法 模糊PID 控制效果 温度模拟
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